Consensus MCP Board

What it does

I’m building consensus.tools, an open source MCP server and workflow UI for AI decision reliability. It adds consensus checks, observability, and “decision firewalls” so multiple models or agents must agree before actions happen. Useful for PR reviews, workflows, and agent systems where bad AI decisions can break things. Still early, but the goal is simple: make AI outputs more trustworthy.

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  Consensus2022 · consensus.app · ▲407

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  I built a tool to assist AI agents to know when a PR is good to goJan 2026 · dsifry.github.io · ▲45

  I've been using Claude Code heavily, and kept hitting the same issue: the agent would push changes, respond to reviews, wait for CI... but never really know when it was done. It would poll CI in loops. Miss actionable comments buried among 15 CodeRabbit suggestions. Or declare victory while threads were still unresolved. The core problem: no deterministic way for an agent to know a PR is ready to merge. So I built gtg (Good To Go). One command, one answer: $ gtg 123 OK PR #123: READY CI: success (5/5 passed) Threads: 3/3 resolved It aggregates CI status, classifies review comments…

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  claude-consensusJul 2026 · github.com · ▲2

  It's a Claude Code plugin that runs multiple AI models (GPT, Gemini, Grok, Kimi, Qwen, etc.) in parallel for code review and planning, then converges them on consensus through structured rounds. Each model reviews independently with no visibility into what the others found. Then they synthesize, surface conflicts, and run convergence (approve / changes needed, max 2 rounds). Technically it's markdown command files orchestrating Claude Code's team system — no custom runtime, just CLI piping.

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